2020
DOI: 10.1016/j.automatica.2020.109121
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Explicit port-Hamiltonian formulation of multi-bond graphs for an automated model generation

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Cited by 5 publications
(4 citation statements)
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“…Most researchers probably think of them as directed graphs, see e.g. Pfeifer et al (2020). In Coya (2017) a categorical framework is presented featuring 0-and 1-junctions as syntax and functorial semantics for the thereby expressed junction structure.…”
Section: Modelling Languagementioning
confidence: 99%
“…Most researchers probably think of them as directed graphs, see e.g. Pfeifer et al (2020). In Coya (2017) a categorical framework is presented featuring 0-and 1-junctions as syntax and functorial semantics for the thereby expressed junction structure.…”
Section: Modelling Languagementioning
confidence: 99%
“…The application of a three-dimensional multi-body bond graph modeling approach for simulating vibration in a horizontal oil well was presented in [33]. In [34], a method for an explicit port-Hamiltonian formulation of multibond graphs was introduced.…”
Section: Physicamentioning
confidence: 99%
“…In [20], [28], we can find a discussion of the relationship between bond graphs and port-Hamiltonian systems, and [14], [42] have presented the derivation of port-Hamiltonian models from bond graphs.…”
Section: B Literature Reviewmentioning
confidence: 99%
“…For this purpose, we have taken advantage of the fact that these three approaches share concepts such as power ports (Modelica generalizes this concept with the class connector) or the hierarchical organization (class inheritance and composition in Modelica). Although there are references that combine some of these modeling approaches (e.g., [13], [16], [20], and [42]), they do not address all three together. Moreover, our approach has an additional advantage: it is not necessary to perform a causality analysis when building the models (as required by traditional bond graph modeling) because neither the port-Hamiltonian modeling nor the tools that process the Modelica language need causality indications to automatically generate the computational equations of the models and simulate them.…”
Section: Contributionsmentioning
confidence: 99%